This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.
À propos de ce cours
Compétences que vous acquerrez
- 5 stars78,26 %
- 4 stars17,41 %
- 3 stars2,43 %
- 2 stars0,65 %
- 1 star1,22 %
Meilleurs avis pour INTRODUCTION TO PROBABILITY AND DATA WITH R
They could have touched more R. Otherwise everything is fine. But it is very easy to clear the course. Even the peer reviewed assignment is wrongly reviewed many times whether positive or negative.
A good introductory course to data analysis, statistics and the R programming language. Recommended to people who are new to data analysis and also those who are experienced and could use a refresh.
The lectures were very clear and concise and the examples were very relevant. Some of the R instructions left a little something to be desired, but nothing a little time and google couldn't solve.
The contents of the course about statistics are friendly to the beginners and easy to understand, however, the R learning is a little bit hard to those who have no computer or coding background.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Une aide financière est-elle possible ?
Will I receive a transcript from Duke University for completing this course?
D'autres questions ? Visitez le Centre d'Aide pour les Étudiants.